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Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
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News Medical on MSNBayesian neural networks advance understanding of gut microbe metabolismGut bacteria are known to be a key factor in many health-related concerns. However, the number and variety of them is vast, as are the ways in which they interact with the body's chemistry and each ...
GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic applications.
The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...
Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...
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